{"id":"W6921017134","doi":"10.6084/m9.figshare.13534369.v1","title":"Additional file 6 of “AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Institute for Clinical Evaluative Sciences; Vector Institute; Public Health Ontario; University of Toronto; McMaster University","funders":"","keywords":"Qualitative research; Descriptive research; Public access; Qualitative analysis; Participant observation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005616113,0.0005992311,0.0008335063,0.002290823,0.002435019,0.00200515,0.001478369,0.00128193,0.8776112],"category_scores_gemma":[0.0808337,0.0004541704,0.0005143402,0.004715193,0.0006756429,0.004332236,0.001682201,0.001527557,0.1400101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00245188,"about_ca_system_score_gemma":0.003876577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346,"about_ca_topic_score_gemma":0.02280998,"domain_scores_codex":[0.9982443,0.0008689499,0.000216702,0.0001638724,0.0003146429,0.0001915886],"domain_scores_gemma":[0.9093738,0.07714631,0.001820498,0.002049955,0.00847034,0.001139179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001427084,0.00005623897,0.0006348619,0.002130051,0.000006223054,0.00004880082,0.001865045,0.00008997758,0.00002677867,0.001719234,0.986703,0.006577034],"study_design_scores_gemma":[0.001794844,0.0002047263,0.009958445,0.006621859,0.00004524095,0.0002167804,0.01894655,0.000553205,0.0003395442,0.02105425,0.9401065,0.0001579977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001206104,0.0000649152,0.0007848776,0.002486697,0.000232622,0.001791433,0.9770258,0.0002849277,0.01612256],"genre_scores_gemma":[0.0711384,0.001115406,0.02216838,0.01042736,0.0007204396,0.1059858,0.5945895,0.002425793,0.1914288],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8776112,"threshold_uncertainty_score":0.1745728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.688727546855122,"score_gpt":0.5533264339953428,"score_spread":0.1354011128597793,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}